DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. At DataVisor, we are working hard to find excellent web front-end engineers who can constantly challenge ourselves and surpass ourselves. We hope that candidates have a solid development foundation and broad front-end or full-stack development experience. Mature experience in front-end framework, early start-up technology company experience is preferred, we look forward to furthering communication with you! Responsibility: 1. Develop DataVisor user analysis interface, including data visualization and database interface functionality, and complete the development efficiently tasks; 2. Constantly participate in the development of the Web front-end, back-end development, API interface, etc. of the DataVisor big data analysis platform; 3. Focus on business, business goals, and exert self-creativity and productivity to achieve business needs. Requirements 1. Minimum two years of web development experience, proficient in HTML, CSS, Javascript, Typescript and other related knowledge 2. Minimum two years of experience in front-end frameworks (such as Angular, React), etc., experience in data visualization is preferred 3. Familiar with web testing framework, Java Selenium, experienced in write E2E test cases/test suites and Unit Test for frontend code, and also to be able to extend existing applications and have certain experience in performance tuning 4. Experienced in Java/Spring programming, familiar with Web back-end development, and big data analysis experience is preferred. 5. NodeJS server-side development, database interface development experience, and SQL proficiency are preferred. 6. Proficiency in using git, Jenkins and other tools 7. Good English reading and writing skills, good at communication 8. B.S is required Benefits We offer a flexible schedule with competitive pay, equity participation and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world class team.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Requirements: 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

What you'll do: Design and build machine learning systems that process data sets from the world’s largest consumer services Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters Build and optimize systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Requirement: 1:5+ years software development experience 2:5+ years experience in Java, Shell, Python development 3:Excellent knowledge of Relational Databases, SQL and ORM 4:technologies (JPA2, Hibernate) is a plus 5:Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. 6:Experience in the Spring Framework is a plus 7:Experience with test-driven development is a plus

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! The software engineer - infrastructure team is the backbone of DataVisor. Without our distributed and highly robust systems, business would stop. We tackle important challenges: clients require sub-second response times while we find relationships in terabytes of data. We’ve created, and continually improve, our massive cluster infrastructure, allowing highly computationally expensive jobs to run smoothly. We love using and learning a 2+ years experience with infrastructure software engineering or production system operation experiences 2+ years experience with Amazon Web Services or other cloud service providers Strong understanding of the Linux environment and systems configurations Experience with Java and Python Experience with Kubernetes, docker Has basic knowledge about networking Open to work remotely Experience with Apache Spark, Cassandra, Flink Experience with Grafana, Loki, ELK

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space. What you'll do: Design and build machine learning systems that process data sets from the world’s largest consumer services Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters Build and optimize systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Requirements： 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real-time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide a guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Summary: As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space. What you'll do: 1. Design and build machine learning systems that process data sets from the world’s largest consumer services 2. Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters 3. Build and optimize systems, tools, and validation strategies to support new features 4. Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Flink, Cassandra) to build large scale machine learning pipelines 5. Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) 6. Manage and coach team members Requirements: 5+ years of software development experience 5+ years of experience in Java/C++ development 1+ year of team management Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

岗位职责： 1. 协助董事长处理日常事务，提供高效、专业的行政支持； 2. 协助董事长安排日程、会议、差旅等，并做好相关记录和纪要； 3. 协助董事长处理内部和外部沟通，维护公司形象； 4. 协助董事长收集、整理相关资料和数据，提供决策支持； 5. 完成董事长交办的其他任务。 任职要求： 1. 本科及以上学历，行政管理、商务管理等相关专业优先； 2. 具备2年以上董助或相关岗位工作经验，有知名企业工作经验优先； 3. 具备良好的沟通协调能力和组织能力，能够处理多任务和压力； 4. 熟练使用办公软件，如Word、Excel、PPT等； 5. 具备优秀的职业素养和团队合作精神，工作细致认真。 岗位亮点： 1. 公司处于快速发展的行业，具有广阔的发展空间和机遇； 2. 团队氛围积极向上，能够提供良好的职业培训和成长支持； 3. 薪资待遇优厚，五险一金等福利健全。

岗位要求: 1、一年以上税务工作经验 2、较强的沟通能力、执行力和项目管理能力，良好的中英文口头和书面表达能力 3、脚踏实地、认真负责，专业上不断追求精深，愿意长期稳定从事财务领域工作 岗位职责: 1、及时获取外部税法政策变化及内部业务变化，输出税法规则解读意见，制定与实施各税种解决方案，确保税务规则有效落地，支撑终端业务发展 2、负责计税、申报、资产、披露等税务专业解决方案制定和实施，保障纳税遵从及时准确，确保持续的高质量税务作业 3、负责税务领域需求及方案管理，支撑税务领域IT产品设计、测试、上线

职位职责： 1、负责搜索广告标注及评估项目的全流程管理，能够理解用户搜索意图，结合当地文化与用户习惯，保障线上用户搜索体验； 2、协同产品、研发团队进行搜索策略调整，制定策略评估/标注标准并精准分析案例，驱动搜索策略不断优化； 3、负责搜索广告规则在各个搜索场景下的对齐与应用，确保评估标准的准确性与合理性； 4、策划并承接搜索侧的各类运营需求，建立规范的需求调研、方案设计，协同多部门共同完成项目落地； 5、结合AI及LLM技术，探索其在数据标注、评估及运营流程中的应用落地，提升运营自动化水平与效率。 职位要求： 1、本科及以上学历，有海外留学或工作背景者优先； 2、具备2年运营经验，有搜索、商业化、质量评估相关经验或AI及LLM相关应用经验者优先；熟悉大模型行业动态者优先； 3、英语可作为工作语言，具备第二外语能力者优先（如德语、日语、西班牙语等）； 4、具有较好的项目管理、流程搭建和落地能力，有独立负责项目的经验，跨团队协作和沟通能力强； 5、数据敏感，具备良好的数据分析和处理能力，可以熟练使用主流数据分析工具； 6、目标导向，能够将目标拆解为动作，善于总结归纳，能够根据日常工作中的问题提出解决方案并付诸实践。

岗位职责： 1.  对接Amazon 卖家客户，获取潜在客户并引导其完成 Artemis Ads 平台的接入； 2.  制定推广策略，为卖家提供专业的站外引流建议及投放方案，提高推广效果； 3.  匹配并拓展媒体资源，寻找合适的联盟网站、社交媒体达人、内容创作者等，助力卖家精准触达目标用户； 4.  运营并提升Artemis Ads 的行业影响力，包括但不限于： •  规划并执行小红书、微信朋友圈、微信群、LinkedIn 等社媒平台的内容营销； •  策划推广活动，增加品牌曝光和影响力； •  关注行业动态，优化营销策略，提升市场竞争力； 1.  数据分析与优化，跟踪推广效果，根据数据反馈不断优化推广策略； 2.  团队协作，协调内部资源，与市场、产品、销售团队紧密合作，推动项目落地并提升客户满意度。 任职要求： 1.  3 年以上互联网行业工作经验，有跨境电商、Amazon 运营、联盟营销相关经验者优先； 2.  熟悉Amazon 店铺运营流程，了解 Amazon 卖家需求和痛点； 3.  熟练运营社交媒体（如小红书、微信、LinkedIn），具备内容策划及增长经验； 4.  优秀的沟通和谈判能力，能够有效对接卖家和媒体资源，推动项目落地； 5.  具备数据分析能力，能基于数据优化推广策略，提高ROI； 6.  有设计能力者加分（如熟练使用Canva、PS、AI 等工具）； 7.  英语能力CET-6 或以上，能够进行流畅的书面和口语沟通； 8.  团队协作能力强，执行力高，抗压能力强。

工作内容： 1、根据业务需求进行数据业务开发，分析后台已有数据，理解数据维度和含义，并根据计算公式进行数据应用开发及分析。 2、参与数据治理工作，根据目前已有数据，解析数据依赖，编排数据拓扑结构，数据元数据结构优化；提升数据易用性及数据质量，统一数据口径，制定数据标准化规则。 3、对数据平台和执行引擎遇到问题时有一定的解决能力，负责 ETL 流程的优化及解决 ETL 相关技术问题，对数据稳定性和性能有一定的优化能力。 4、支撑采购供应链业务域的搜索、用户画像、推荐系统等业务的数据需求，确保输出时效性与准确性。 任职要求： 1、本科及以上学历，计算机相关专业，3年以上工作经验； 2、精通Python语言，能够使用python写数据分析算法； 3、精通FineBI、FineReport的开发、维护技术（有帆软高级工程师认证的优先）能够独立完成BI项目的开发； 4、精通数仓及BI系统业务建设流程； 5、熟练掌握SQL,能够熟练编写复杂的查询语句、存储过程、函数等,对常见关系型数据库(如Oracle、MySQL等)的性能优化有一定经验； 6、有良好的沟通和业务流程描述能力，书面表达能力，高度自驱。

岗位职责 一、研发管理与数字化项目交付 1、承接公司整体业务战略与数字化方向，制定系统建设方案与实施计划，确保数字化项目以业务价值为核心导向落地； 2、主导关键项目的技术实现与交付，包括系统架构设计、技术选型、方案评估及落地执行； 3、推动CRM、LTC流程、产品供应链、营销中台等核心系统的数字化建设，确保系统的稳定性、扩展性与交付质量； 4、推动数据与AI能力落地，建设高可用的数据体系与智能化的应用场景； 5、负责项目的技术复盘与持续优化，形成可复用的技术资产与经验标准。 二、架构设计与技术方案决策 1、主导企业级架构设计与落地，包括应用架构、数据架构与技术架构的整体一致性； 2、对4A架构具备系统理解与落地经验，能在架构层面进行方向设计与技术指导； 4、在后端与大数据领域具备深厚积累，能制定高效、可扩展、安全的技术方案并持续维护，包括系统基础设施、网络、数据管理和安全协议，以实现高性能、系统可用性SLA和数据完整性； 5、具备AI应用落地能力，对大模型的原理及路径有实操经验，能指导团队在业务中实现智能化赋能。 三、团队与研发体系建设 1、负责技术团队的组织与梯队建设，制定绩效考核与成长机制； 2、推动研发流程规范化，覆盖产品需求、设计、研发、测试、发布、运维全链路； 3、优化DevOps体系，提升交付效率与系统可靠性； 4、推进自动化测试与工程化体系建设，确保交付的高质量与可持续性； 5、建立技术文档与知识沉淀机制，推动工程文化与技术学习氛围。 四、技术创新与趋势洞察 1、关注AI大模型、大数据、云原生等前沿技术的发展方向，结合公司业务阶段评估落地价值； 2、以务实的视角推动技术创新在现有业务体系中的落地实践，识别并降低技术相关风险，确保数据隐私和安全合规得到遵守； 3、将成熟的新技术逐步融入公司系统建设与数据治理中，助力数字化效率提升。 核心能力要求 1、数字化交付能力：能够将业务需求转化为技术方案，实现系统级的数字化项目交付。 2、研发与工程管理能力：熟悉研发流程、DevOps体系与质量控制，能持续提升交付效率与系统稳定性。 3、AI实践与创新能力：理解大语言模型及生成式AI的原理，有实际落地经验。 4、团队管理能力：能带领30人以上技术团队进行系统性研发管理，促进协作与学习文化建设。 5、学习与应变能力：能快速吸收新技术发展并结合业务灵活落地。 任职要求 1、5年以上技术管理经验，3年以上技术负责人或技术总监岗位经历； 2、管理过30-50人或以上规模的研发团队，具备中大型项目交付经验； 3、有传统行业（销售、零售、制造等）数字化转型项目经验； 4、深厚的技术背景，了解全栈技术并熟悉后端、数据、AI大模型及DevOps体系； 5、以业务价值为导向，具备决策技术方案与执行优先级的能力；

职位概述 该职位负责优化证券后台运营流程，确保股票和固定收益（Equity & FICC）产品的高效运营与合规性，管理跨部门项目，并推动流程自动化和改进。 岗位职责 1、优化现有业务流程，推动自动化和效率提升，确保符合行业最佳实践和监管要求（如SFC）。 2、负责每日交易的清算、结算及账务核对，确保数据准确性。 处理公司行动（如派息、分红、配股）及支持新股发行（IPO）相关后台操作。 3、管理后台系统项目，推动新系统上线或优化现有系统。 4、识别并管理操作风险，支持内外部审计及合规要求。 5、与技术团队及前中后台密切协作，确保流程无缝衔接。 岗位要求 1、本科及以上学历，至少3年证券后台或运营相关经验，有项目管理经验者优先。 2、熟悉股票和固定收益产品后台操作，了解香港及主要市场交易和结算规则。 3、具备流程优化和自动化经验，能够推动手动任务的数字化转型。 4、出色的沟通协调能力，能在高压环境下高效处理多任务。 5、风控意识强，熟悉监管要求，英语流利。 混合办公形式，深圳remote，定期去香港办公室onsite1-2天，请根据自身情况申请职位。

岗位要求： 1. 视频、动画等多媒体制作相关专业背景; 2. 熟练掌握 Photoshop、Illustrator 、MAYA、Blender等设计软件，能够独立完成设计工作; 3. 具备良好的策划、拍摄、剪辑能力，能够熟练运用视觉元素进行设计、制作; 4.具备良好的动画制作能力； 5. 具备良好的沟通能力和团队合作精神，能够与客户和团队成员进行有效的沟通和协调; 6. 具备较强的学习能力和悟性，能够迅速接受新知识和技能，不断提升自己的设计水平; 7. 对设计工作充满热情，有创新意识和良好的审美观。 岗位职责： 1. 负责公司日常视频制作、动画制作工作; 2. 参与公司创意策划，为公司提供具有创意和视觉冲击力的多媒体设计方案; 3. 与团队密切合作，根据客户需求进行设计方案的制定和调整，确保设计作品符合客户要求; 4. 熟练掌握 Photoshop、Illustrator 、MAYA、Blender等设计软件，能够独立完成设计工作; 5. 具备良好的沟通能力和团队合作精神，能够与客户和团队成员进行有效的沟通和协调。

"岗位职责 1、负责海外社交（元宇宙）产品中营收模块的整体规划与设计，包括支付流程、营收功能玩法、付费道具与场景、付费用户权益等，结合目标市场（东南亚、中东等地区）用户需求与市场趋势，制定清晰的营收产品路线图 2、深入研究海外社交、直播、语音房、互动游戏等相关领域的产品形态与运营模式，提炼核心亮点并融入到现有产品中，基于社交核心场景，丰富营收场景和付费玩法 3、主导产品付费营收体系的搭建与优化，独立设计付费功能（如虚拟道具、会员体系、付费互动玩法等）和营收玩法，制定合理的定价策略，对产品营收转化与收入增长负责，定期分析营收数据并提出优化方案，提升付费用户转化率、留存率与营收。 4、负责对接海外（东南亚、中东、欧美地区）各类支付渠道并优化支付流程，包括官方支付渠道、第三方支付平台、vip用户通道等，推进相关技术对接与上线，解决支付过程中的各类问题，保障用户支付体验与资金安全，同时优化支付转化率。 5、负责社交&营收体系内的相关需求，与技术、设计、运营等团队紧密协作，明确项目需求与时间节点，推动产品迭代开发与上线，确保产品功能按时高质量交付。 6、持续关注海外市场动态、竞争对手产品策略及用户反馈，及时调整产品方向与策略，提升产品在目标市场的竞争力。 任职要求 1、本科及以上学历，拥有3 年以上互联网产品经理工作经验，且具备海外社交、直播、语音房、游戏等至少一类相关产品的完整项目经验，熟悉此类产品的业务逻辑、用户需求与设计要点。 2、熟悉海外（东南亚、中东、南美等地区）主流支付渠道的特性与对接流程，有本地第三方支付对接实战经验，能够独立解决支付对接过程中的技术与业务问题，对支付转化率优化有一定见解。 3、具备丰富的社交 / 直播付费营收玩法设计经验，能够独立完成付费功能与营收玩法的设计工作，有成功推动产品营收增长的案例者优先，对数据敏感，能够通过数据分析发现问题并优化营收策略，对营收转化结果负责。 4、具备优秀的产品思维与创新能力，能够准确把握目标市场用户需求与产品发展方向，善于挖掘用户潜在需求并转化为产品功能。 5、拥有良好的沟通协调能力与项目管理能力，能够有效推动跨部门团队协作，确保项目顺利推进，具备较强的抗压能力，能够适应快节奏的工作环境。 6、熟悉海外文化与用户习惯，英语听说读写能力良好，有丰富的海外产品经验优先"